Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710003087
The MH-36 locality cells most similar to this Bhandara cell across terrain, built form, land cover, climate dynamics and connectivity — ranked by a GUM-confidence-weighted (R24) distance, with the temporal block down-weighted. Each twin is a real cell with its own witnessed dossier.
Twins found
18
across 2 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.162
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710003569
distance 0.162
#2 · Bhandaracell 4710003005
distance 0.173
#3 · Bhandaracell 4710002969
distance 0.212
#4 · Bhandaracell 4710002958
distance 0.218
#5 · Bhandaracell 4710002867
distance 0.219
#6 · Nagpurcell 4840004113
distance 0.233 · cross-district
#7 · Bhandaracell 4710002959
distance 0.237
#8 · Bhandaracell 4710003046
distance 0.238
#9 · Nagpurcell 4840006155
distance 0.248 · cross-district
#10 · Bhandaracell 4710002839
distance 0.25
#11 · Nagpurcell 4840007042
distance 0.253 · cross-district
#12 · Bhandaracell 4710002891
distance 0.256
#13 · Bhandaracell 4710003570
distance 0.26
#14 · Nagpurcell 4840002184
distance 0.26 · cross-district
#15 · Bhandaracell 4710002965
distance 0.261
#16 · Nagpurcell 4840006385
distance 0.261 · cross-district
#17 · Bhandaracell 4710003085
distance 0.264
#18 · Bhandaracell 4710003223
distance 0.268
witness: find_twins — morphology-twin-index-v2 (R24, GUM-confidence-weighted, magnitude-aware, temporal block down-weighted). Distance is the weighted feature distance; lower is more alike. Cross-district twins are the discriminative signal.
Re-witness these twins
curl -s https://api.gridrock.ai/mcp -H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_twins",
"arguments":{"admin_code":471,"cluster_id":4710003087}}}'Scope: the live MH-36 cube. Twins are computed from the sha-verified morphology-v2 vector; the engine supplies no goodness/suitability ranking — only morphological similarity.